Decision Science Analysts blend proficiency in data, analytical methods, and business context to drive insights and identify solutions.
Requirements
- Practical industry experiences using descriptive statistics to summarize and present data for decision making.
- Practical industry experience with a broad range of methods and best practices for data visualization using modern BI tools such as Tableau, Power BI, etc.
- Practical industry experiences using SQL, and R or Python to query, combine, transform, visualize, and analyze data.
Responsibilities
- You apply appropriate scientific and quantitative methods to data to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
- You identify, gather, and enrich data to design and develop measures, metrics, features, and complex data sets for AI/ML, business intelligence, and other analytic projects.
- You plan, design, develop, and deploy self-service business intelligence solutions that provide transparency and increased decision-making capacity to the business.
- You write code to query, transform, combine, analyze, and visualize data, following best practices including debugging, versioning, documentation, and peer review.
- You design data and analytic solutions to solve ambiguous and hypothetical business problems.
- You take reasonable measures to ensure accuracy, appropriateness, and completeness of data for the task.
Other
- Bachelor's or higher degree. Equivalent relevant experience may be considered in lieu of a degree.
- Possess strong decision-making and critical-thinking skills.
- Effectively present analysis and recommendations to peers and manager.
- This role can be worked from any U.S. remote location.
- Familiarity with public company requirements, including Sarbanes Oxley and key regulations, if applicable.
